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BABAKAFSHINPOUR
/
earnings-call-guidance-lora

Text Generation
PEFT
Safetensors
English
lora
qlora
qwen2.5
finance
earnings-calls
information-extraction
structured-output
unsloth
conversational
Model card Files Files and versions
xet
Community

Instructions to use BABAKAFSHINPOUR/earnings-call-guidance-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use BABAKAFSHINPOUR/earnings-call-guidance-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-7B-Instruct-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "BABAKAFSHINPOUR/earnings-call-guidance-lora")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
earnings-call-guidance-lora
92.2 MB
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  • 1 contributor
History: 3 commits
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BABAKAFSHINPOUR
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